Amel Ben Slimane Rahmouni

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This paper presents a robust algorithm for glottal closure instants (GCIs) detection of speech signals. The algorithm uses a multi-scale analysis based on a dyadic wavelet filterbank. Significant minima and maxima of the filtered signals are localized at each scale using adap-tive mathematical morphology transformation of erosion. With reference to the GCIs(More)
Usable speech criteria are proposed to extract minimally corrupted speech for speaker identification (SID) in co-channel speech. In co-channel speech, either speaker can randomly appear as the stronger speaker or the weaker one at a time. Hence, the extracted usable segments are separated in time and need to be organized into speaker streams for SID. In(More)
identification suffer from the problem of co-channel speech. This paper deals with a multi-resolution dyadic wavelet transform method for usable segments of co-channel speech detection that could be processed by a speaker identification system. Evaluation of this method is performed on TIMIT database referring to the Target to Interferer Ratio measure.(More)
identification suffer from the problem of co-channel speech. This paper deals with a multi-resolution dyadic wavelet transform method for usable segments of co-channel speech detection that could be processed by a speaker identification system. Evaluation of this method is performed on TIMIT database referring to the Target to Interferer Ratio measure.(More)
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